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Multivariate regression is a common statistical tool for practical problems.
Multivariate regression is implemented using regression splines (RS).
At present, infrared (IR) spectroscopy in combination with multivariate regression is widely applied as a screening procedure, which allows one to determine alcoholic strength in less than 2 min without any sample preparation.
Linear elastic multivariate regression is carried out to determine the general bounds of optimized paraments, and uniform design method is carried out to settle different combinations of factor levels.
Analysis of stepwise multivariate regression is reported in Table 2.
Our results indicate that multivariate regression is well suited for emulating dynamic models in systems biology.
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Multivariate regression was used to control for potentially confounding variables.
Multivariate regression was used to evaluate the hypothesized association.
The results of the multivariate regression are displayed in Table 3.
Multivariate regression was used to evaluate the relationship between radiographic measures and femur fracture.
Multivariate regression was built between the NIR scores as the predictor variables and the dissolution profile parameters as the response.
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